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Data Engineer OpenData Commercial

extra holidays - extra parental leave - work from anywhere - fully flexible

Work set-up:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Taiwan

Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or related field., At least 4 years of experience in Data Engineering roles., Experience developing data pipelines in cloud environments like AWS using tools such as Apache Spark., Knowledge of data modeling and working with cross-functional teams..

Key responsibilities:

Design and build reusable data pipelines using cloud and proprietary platforms.
Collaborate with data scientists to develop AI/ML proofs of concept.
Create documentation and train data analysts on tools and pipelines.
Guide junior data engineers and ensure security standards are met.

Veeva Systems Computer Software / SaaS SME http://www.veeva.com

5001 - 10000 Employees

See all jobs

Job description

Veeva Systems is a missiondriven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastestgrowing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Were not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry , committed to making a positive impact on its customers, employees, and communities.

The Role

Veeva is looking for a hardworking, collaborative expert in data pipelines, ETL tools, and warehousing. You will be creating highquality solutions to complex problems around data acquisition and integration into existing systems and data sets. If you enjoy working in a fastpaced environment with a variety of exciting challenges to solve, this is the role for you.

What You’ll Do
Design and build reusable and configurable data pipelines using a mix of standard cloudbased and proprietary data platforms
Work with a data scientist to develop AIML proofs of concept into full implementations
Create documentation and provide informal training for data analysts on the configuration and use of tools and pipelines
Work with other engineering and product teams to understand proprietary platforms and provide input and feedback
Provide guidance to more junior data engineers on best practices
Work with security teams to ensure that all servers, platforms, and other resources meet security requirements

Requirements
BS degree in Computer Science, Engineering, or a related subject.
4+ years of experience in Data Engineering roles.
Experience developing sophisticated data pipelines in cloudbased environments (e.g. AWS) using scalable data processing tools (e.g. Apache Spark)
Data modeling experience
Demonstrated ability to work with others, particularly providing guidance to other data engineers
Ability to communicate around complex ideas and topics in English with both technical and nontechnical individuals

Nice to Have
Familiarity with Agile methodologies
DevOps skills, especially CICD experience
Configuring and maintaining cloudbased cluster computing resources and orchestration systems (e.g. EC2 instances, Kubernetes clusters, Elastic Beanstalk)

Perks & Benefits
Flexible “work from anywhere” policy
#LIRemote

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.